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Spatial shift-share analysis versus spatial filtering: an application to Spanish employment data

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  • Matías Mayor
  • Ana López

Abstract

The aim of this work is to analyse the influence of spatial effects in the evolution of regional employment, thus improving the explanation of the existing differences. With this aim, two non-parametric techniques are proposed: spatial shift-share analysis and spatial filtering. Spatial shift-share models based on previously defined spatial weights matrix allow the identification and estimation of the spatial effects. Furthermore, spatial filtering techniques can be used in order to remove the effects of spatial correlation, thus allowing the decomposition of the employment variation into two components, respectively related to the spatial and structural effects. The application of both techniques to the spatial analysis of regional employment in Spain leads to some interesting findings and shows the main advantages and limitations of each of the considered procedures, together with the quantification of their sensitivity with regard to the considered weights matrix.
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Suggested Citation

  • Matías Mayor & Ana López, 2008. "Spatial shift-share analysis versus spatial filtering: an application to Spanish employment data," Empirical Economics, Springer, vol. 34(1), pages 123-142, February.
    • Handle: RePEc:spr:empeco:v:34:y:2008:i:1:p:123-142
    DOI: 10.1007/s00181-007-0167-9
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    1. Enrique López‐Bazo & Esther Vayá & Manuel Artís, 2004. "Regional Externalities And Growth: Evidence From European Regions," Journal of Regional Science, Wiley Blackwell, vol. 44(1), pages 43-73, February.
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    5. Daniel A. Griffith, 2000. "A linear regression solution to the spatial autocorrelation problem," Journal of Geographical Systems, Springer, vol. 2(2), pages 141-156, July.
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